The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-02"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "10869739 (up from 10692551 yesterday: 1.66 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "521298 (up from 516210 yesterday: 0.99 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.8



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2739879 53621 2.00 128740 678 0.53 4.70
Brazil 1496858 48105 3.32 61884 1252 2.06 4.13
Russia 660231 6752 1.03 9668 147 1.54 1.46
India 625544 20903 3.46 18213 379 2.13 2.91
Peru 292004 3527 1.22 10045 185 1.88 3.44
United Kingdom 285268 -29724 -9.44 44080 89 0.20 15.45
Chile 284541 2498 0.89 5920 167 2.90 2.08
Spain 250103 444 0.18 28368 4 0.01 11.34
Italy 240961 201 0.08 34818 30 0.09 14.45
Mexico 238511 6741 2.91 29189 679 2.38 12.24
Iran 232863 2652 1.15 11106 148 1.35 4.77
Pakistan 221896 4087 1.88 4551 78 1.74 2.05
France 203640 659 0.32 29878 14 0.05 14.67
Turkey 202284 1186 0.59 5167 17 0.33 2.55
Saudi Arabia 197608 3383 1.74 1752 54 3.18 0.89
Germany 196370 477 0.24 9006 11 0.12 4.59
South Africa 168061 8728 5.48 2844 95 3.46 1.69
Bangladesh 153277 4019 2.69 1926 38 2.01 1.26
Canada 106643 355 0.33 8700 22 0.25 8.16
Colombia 102261 4171 4.25 3650 162 4.64 3.57
Qatar 97897 894 0.92 118 3 2.61 0.12
China 84830 14 0.02 4641 0 0.00 5.47
Egypt 71299 1485 2.13 3120 86 2.83 4.38
Sweden 70639 947 1.36 5411 41 0.76 7.66
Argentina 69941 2744 4.08 1385 34 2.52 1.98
Belarus 62698 274 0.44 405 7 1.76 0.65
Belgium 61598 89 0.14 9761 7 0.07 15.85
Ecuador 59468 1211 2.08 4639 63 1.38 7.80
Indonesia 59394 1624 2.81 2987 53 1.81 5.03
Iraq 53708 2184 4.24 2160 110 5.37 4.02
Netherlands 50546 63 0.12 6132 0 0.00 12.13
United Arab Emirates 49469 400 0.82 317 1 0.32 0.64
Kuwait 47859 919 1.96 359 1 0.28 0.75
Ukraine 46821 897 1.95 1200 12 1.01 2.56
Singapore 44310 188 0.43 26 0 0.00 0.06
Portugal 42782 328 0.77 1587 8 0.51 3.71
Kazakhstan 42574 1509 3.67 188 0 0.00 0.44
Oman 42555 1361 3.30 188 3 1.62 0.44
Philippines 38805 294 0.76 1274 4 0.31 3.28
Bolivia 35528 1301 3.80 1271 70 5.83 3.58
Panama 35237 774 2.25 667 22 3.41 1.89
Poland 35146 371 1.07 1492 15 1.02 4.25
Dominican Republic 34197 810 2.43 765 11 1.46 2.24
Afghanistan 32022 186 0.58 807 33 4.26 2.52
Switzerland 31967 116 0.36 1965 0 0.00 6.15
Bahrain 27837 423 1.54 94 2 2.17 0.34
Romania 27746 450 1.65 1687 20 1.20 6.08
Nigeria 27110 626 2.36 616 13 2.16 2.27
Israel 27047 790 3.01 324 2 0.62 1.20
Armenia 26658 593 2.28 459 6 1.32 1.72
Ireland 25489 12 0.05 1738 0 0.00 6.82
Honduras 21120 858 4.23 591 49 9.04 2.80
Guatemala 20072 1061 5.58 843 26 3.18 4.20
Japan 19055 217 1.15 977 1 0.10 5.13
Azerbaijan 18684 572 3.16 228 8 3.64 1.22
Ghana 18134 0 0.00 117 0 0.00 0.65
Austria 17941 68 0.38 705 0 0.00 3.93
Moldova 17150 252 1.49 560 11 2.00 3.27
Serbia 15195 359 2.42 287 6 2.14 1.89
Algeria 14657 385 2.70 928 8 0.87 6.33
Nepal 14519 473 3.37 31 1 3.33 0.21
Denmark 13015 21 0.16 606 0 0.00 4.66
Morocco 12969 333 2.64 229 1 0.44 1.77
Korea, South 12967 63 0.49 282 0 0.00 2.17
Cameroon 12592 0 0.00 313 0 0.00 2.49
Czechia 12178 132 1.10 353 4 1.15 2.90
Cote d’Ivoire 9992 290 2.99 68 0 0.00 0.68
Sudan 9573 0 0.00 602 0 0.00 6.29
Uzbekistan 9078 297 3.38 27 1 3.85 0.30
Norway 8902 6 0.07 251 0 0.00 2.82
Malaysia 8643 3 0.03 121 0 0.00 1.40
Australia 8066 65 0.81 104 0 0.00 1.29
Finland 7241 5 0.07 328 0 0.00 4.53
Congo (Kinshasa) 7189 67 0.94 176 1 0.57 2.45
Senegal 7054 129 1.86 121 5 4.31 1.72
El Salvador 7000 264 3.92 191 9 4.95 2.73
Kenya 6941 268 4.02 152 3 2.01 2.19
Kyrgyzstan 6767 506 8.08 76 10 15.15 1.12
North Macedonia 6625 171 2.65 321 15 4.90 4.85
Venezuela 6273 211 3.48 57 3 5.56 0.91
Haiti 6101 61 1.01 110 3 2.80 1.80
Tajikistan 6058 53 0.88 52 0 0.00 0.86
Ethiopia 5846 0 0.00 103 0 0.00 1.76
Gabon 5513 0 0.00 42 0 0.00 0.76
Guinea 5450 46 0.85 33 0 0.00 0.61
Bulgaria 5315 161 3.12 232 0 0.00 4.37

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 394954 875 0.22 32064 21 0.07 8.12 20302.40 1648.23 1 in 49
California 246550 7869 3.30 6265 96 1.56 2.54 6239.84 158.56 1 in 160
Texas 179137 6769 3.93 2542 39 1.56 1.42 6178.02 87.67 1 in 162
New Jersey 172356 428 0.25 15107 29 0.19 8.76 19404.67 1700.82 1 in 52
Florida 169106 10109 6.36 3617 67 1.89 2.14 7873.55 168.41 1 in 127
Illinois 144013 0 0.00 6951 0 0.00 4.83 11364.82 548.54 1 in 88
Massachusetts 109338 456 0.42 8132 79 0.98 7.44 15733.21 1170.16 1 in 64
Pennsylvania 92612 837 0.91 6712 28 0.42 7.25 7234.19 524.29 1 in 138
Georgia 87709 3467 4.12 2849 22 0.78 3.25 8260.86 268.33 1 in 121
Arizona 87445 3340 3.97 1764 39 2.26 2.02 11483.42 231.65 1 in 87
Michigan 71678 589 0.83 6212 14 0.23 8.67 7177.23 622.02 1 in 139
Maryland 68423 505 0.74 3212 7 0.22 4.69 11317.67 531.29 1 in 88
North Carolina 68216 1465 2.19 1409 11 0.79 2.07 6504.14 134.34 1 in 154
Virginia 63735 532 0.84 1816 30 1.68 2.85 7467.03 212.76 1 in 134
Louisiana 61561 1383 2.30 3255 17 0.53 5.29 13242.36 700.18 1 in 76
Ohio 52865 0 0.00 2876 0 0.00 5.44 4522.59 246.04 1 in 221
Tennessee 46890 1575 3.48 620 11 1.81 1.32 6862.11 90.73 1 in 146
Connecticut 46646 74 0.16 4326 2 0.05 9.27 13083.38 1213.37 1 in 76
Indiana 46387 435 0.95 2662 12 0.45 5.74 6890.30 395.41 1 in 145
Alabama 40111 1149 2.95 985 13 1.34 2.46 8180.60 200.89 1 in 122
South Carolina 39701 1782 4.70 784 18 2.35 1.97 7710.86 152.27 1 in 130
Minnesota 37210 494 1.35 1495 13 0.88 4.02 6597.95 265.09 1 in 152
Washington 34151 716 2.14 1342 3 0.22 3.93 4484.76 176.23 1 in 223
Colorado 33335 323 0.98 1701 4 0.24 5.10 5788.60 295.38 1 in 173
Iowa 30259 745 2.52 719 2 0.28 2.38 9590.60 227.89 1 in 104
Wisconsin 29738 539 1.85 793 7 0.89 2.67 5107.49 136.20 1 in 196
Mississippi 28770 870 3.12 1092 10 0.92 3.80 9666.85 366.92 1 in 103
Utah 23270 554 2.44 176 3 1.73 0.76 7258.36 54.90 1 in 138
Missouri 22636 1601 7.61 1044 26 2.55 4.61 3688.19 170.10 1 in 271
Arkansas 22075 878 4.14 279 2 0.72 1.26 7314.87 92.45 1 in 137
Nevada 19733 632 3.31 525 14 2.74 2.66 6406.49 170.45 1 in 156
Nebraska 19452 142 0.74 282 6 2.17 1.45 10055.79 145.78 1 in 99
Rhode Island 16941 88 0.52 959 3 0.31 5.66 15991.72 905.26 1 in 63
Kentucky 16079 237 1.50 581 9 1.57 3.61 3598.97 130.05 1 in 278
Kansas 15002 172 1.16 280 3 1.08 1.87 5149.46 96.11 1 in 194
Oklahoma 14531 412 2.92 395 6 1.54 2.72 3672.25 99.82 1 in 272
New Mexico 12520 244 1.99 503 3 0.60 4.02 5970.92 239.89 1 in 167
Delaware 11731 221 1.92 510 1 0.20 4.35 12047.07 523.74 1 in 83
District of Columbia 10390 25 0.24 554 1 0.18 5.33 14721.95 784.98 1 in 68
Oregon 9294 363 4.06 209 1 0.48 2.25 2203.55 49.55 1 in 454
Puerto Rico 7608 71 0.94 153 0 0.00 2.01 2382.19 47.91 1 in 420
South Dakota 6893 67 0.98 97 4 4.30 1.41 7791.70 109.65 1 in 128
Idaho 6593 223 3.50 92 0 0.00 1.40 3679.00 51.34 1 in 272
New Hampshire 5822 20 0.34 375 2 0.54 6.44 4281.79 275.79 1 in 234
North Dakota 3657 42 1.16 80 0 0.00 2.19 4798.82 104.98 1 in 208
Maine 3328 34 1.03 105 0 0.00 3.16 2475.80 78.11 1 in 404
West Virginia 3053 74 2.48 93 0 0.00 3.05 1708.31 52.04 1 in 585
Wyoming 1550 36 2.38 20 0 0.00 1.29 2678.14 34.56 1 in 373
Vermont 1227 17 1.40 56 0 0.00 4.56 1966.38 89.75 1 in 509
Montana 1083 67 6.59 22 0 0.00 2.03 1013.31 20.58 1 in 987
Alaska 1014 39 4.00 14 0 0.00 1.38 1386.11 19.14 1 in 721
Hawaii 946 20 2.16 18 0 0.00 1.90 668.14 12.71 1 in 1497

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 4041593 394954 9.77 207755.95
California 4338718 246550 5.68 109806.98
Texas 1975803 179137 9.07 68140.82
New Jersey 1463913 172356 11.77 164814.42
Florida 2032183 169106 8.32 94618.12
Illinois 1637108 144013 8.80 129192.80
Massachusetts 866258 109338 12.62 124650.35
Pennsylvania 790273 92612 11.72 61730.49
Georgia 883239 87709 9.93 83187.70
Arizona 560839 87445 15.59 73650.28
Michigan 1085137 71678 6.61 108656.51
Maryland 553175 68423 12.37 91499.22
North Carolina 971120 68216 7.02 92592.70
Virginia 674256 63735 9.45 78994.14
Louisiana 767374 61561 8.02 165069.48
Ohio 792005 52865 6.67 67755.86
Tennessee 838454 46890 5.59 122703.45
Connecticut 489206 46646 9.54 137213.64
Indiana 496835 46387 9.34 73799.59
Alabama 419728 40111 9.56 85603.13
South Carolina 401401 39701 9.89 77961.41
Minnesota 630427 37210 5.90 111785.13
Washington 571964 34151 5.97 75111.23
Colorado 333255 33335 10.00 57869.47
Iowa 317538 30259 9.53 100643.73
Wisconsin 596755 29738 4.98 102492.36
Mississippi 299039 28770 9.62 100478.50
Utah 346386 23270 6.72 108044.46
Missouri 397318 22636 5.70 64736.89
Arkansas 323987 22075 6.81 107357.78
Nevada 284728 19733 6.93 92439.47
Nebraska 182662 19452 10.65 94427.86
Rhode Island 248268 16941 6.82 234356.37
Kentucky 385794 16079 4.17 86352.34
Kansas 183173 15002 8.19 62874.44
Oklahoma 353050 14531 4.12 89222.29
New Mexico 350060 12520 3.58 166947.33
Delaware 114918 11731 10.21 118014.22
District of Columbia 101063 10390 10.28 143199.64
Oregon 251054 9294 3.70 59523.39
Puerto Rico 7608 7608 100.00 2382.19
South Dakota 81941 6893 8.41 92624.39
Idaho 95121 6593 6.93 53078.99
New Hampshire 120307 5822 4.84 88479.83
North Dakota 108195 3657 3.38 141976.64
Maine 100817 3328 3.30 75000.82
West Virginia 178341 3053 1.71 99790.90
Wyoming 35243 1550 4.40 60894.09
Vermont 67341 1227 1.82 107920.17
Montana 95149 1083 1.14 89025.97
Alaska 115909 1014 0.87 158444.11
Hawaii 80290 946 1.18 56707.10

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 174761 0 0 90911 52.02 75979 7855 0 0 4.49
Tamil Nadu 90167 0 0 50074 55.53 38892 1201 0 0 1.33
Delhi 87360 0 0 58348 66.79 26270 2742 0 0 3.14
Gujarat 32643 0 0 23670 72.51 7125 1848 0 0 5.66
Uttar Pradesh 23492 0 0 16084 68.47 6711 697 0 0 2.97
West Bengal 18559 0 0 12130 65.36 5761 668 0 0 3.60
Rajasthan 18008 0 0 14220 78.96 3375 413 0 0 2.29
Telangana 16339 0 0 7294 44.64 8785 260 0 0 1.59
Karnataka 15242 0 0 7920 51.96 7072 246 0 0 1.61
Andhra Pradesh 14595 0 0 6511 44.61 7897 187 0 0 1.28
Haryana 14548 0 0 9972 68.55 4340 236 0 0 1.62
Madhya Pradesh 13593 0 0 10395 76.47 2626 572 0 0 4.21
Bihar 9988 0 0 7544 75.53 2376 68 0 0 0.68
Assam 8408 0 0 5648 67.17 2745 12 0 0 0.14
Jammu and Kashmir 7497 0 0 4722 62.99 2674 101 0 0 1.35
Odisha 7065 0 0 5189 73.45 1844 32 0 0 0.45
State Unassigned 7004 0 0 0 0.00 7004 0 0 NaN 0.00
Punjab 5568 0 0 3867 69.45 1557 144 0 0 2.59
Kerala 4443 0 0 2304 51.86 2112 25 0 0 0.56
Uttarakhand 2881 0 0 2231 77.44 582 41 0 0 1.42
Chhattisgarh 2858 0 0 2250 78.73 595 13 0 0 0.45
Jharkhand 2490 0 0 1884 75.66 591 15 0 0 0.60
Tripura 1393 0 0 1092 78.39 300 1 0 0 0.07
Goa 1315 0 0 596 45.32 716 3 0 0 0.23
Manipur 1234 0 0 553 44.81 681 0 0 NaN 0.00
Ladakh 973 0 0 648 66.60 324 1 0 0 0.10
Himachal Pradesh 953 0 0 575 60.34 356 9 0 0 0.94
Puducherry 714 0 0 272 38.10 430 12 0 0 1.68
Nagaland 459 0 0 168 36.60 291 0 0 NaN 0.00
Chandigarh 440 0 0 364 82.73 70 6 0 0 1.36
Dadra and Nagar Haveli and Daman and Diu 213 0 0 82 38.50 130 0 0 NaN 0.00
Arunachal Pradesh 191 0 0 62 32.46 128 1 0 0 0.52
Mizoram 160 0 0 122 76.25 38 0 0 NaN 0.00
Andaman and Nicobar Islands 97 0 0 45 46.39 52 0 0 NaN 0.00
Sikkim 88 0 0 50 56.82 38 0 0 NaN 0.00
Meghalaya 53 0 0 42 79.25 10 1 0 0 1.89
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1054415 94108 98 0.10 8.93 241 41 9827 16671 17.71
Piemonte 422647 31378 13 0.04 7.42 248 11 1299 4096 13.05
Emilia-Romagna 504288 28535 27 0.09 5.66 96 9 1003 4265 14.95
Veneto 982614 19309 20 0.10 1.97 20 0 397 2022 10.47
Toscana 344383 10258 4 0.04 2.98 11 3 324 1109 10.81
Liguria 149910 9984 2 0.02 6.66 41 3 281 1558 15.60
Lazio 343882 8130 11 0.14 2.36 188 11 831 839 10.32
Marche 139893 6789 3 0.04 4.85 8 0 238 987 14.54
P.A. Trento 123864 4865 1 0.02 3.93 1 0 46 405 8.32
Campania 286812 4702 3 0.06 1.64 15 0 190 432 9.19
Puglia 182713 4530 0 0.00 2.48 24 0 109 545 12.03
Friuli Venezia Giulia 194395 3314 2 0.06 1.70 6 0 62 345 10.41
Abruzzo 107535 3292 3 0.09 3.06 28 0 160 464 14.09
Sicilia 214317 3090 9 0.29 1.44 17 3 134 282 9.13
P.A. Bolzano 85423 2642 0 0.00 3.09 3 0 84 292 11.05
Umbria 97698 1444 3 0.21 1.48 3 1 11 80 5.54
Sardegna 85381 1368 2 0.15 1.60 7 0 13 133 9.72
Valle d’Aosta 18479 1195 0 0.00 6.47 2 0 3 146 12.22
Calabria 96914 1181 0 0.00 1.22 4 0 25 97 8.21
Molise 23115 445 0 0.00 1.93 0 0 21 23 5.17
Basilicata 40041 402 0 0.00 1.00 0 0 2 27 6.72

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55593 69 0.12 5541 14 0.25 9.97 6511.49 649.01 1 in 154
Ontario 37242 157 0.42 2737 3 0.11 7.35 2531.43 186.04 1 in 395
Alberta 8202 94 1.16 155 1 0.65 1.89 1858.54 35.12 1 in 538
British Columbia 2940 24 0.82 177 3 1.72 6.02 575.24 34.63 1 in 1738
Nova Scotia 1064 1 0.09 63 0 0.00 5.92 1088.54 64.45 1 in 919
Saskatchewan 795 10 1.27 14 1 7.69 1.76 672.78 11.85 1 in 1486
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1642 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1242 7 0.56
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 925 9 0.97
Shandong 792 7 0.88
Shanghai 714 7 0.98
Jiangsu 654 0 0.00
Sichuan 595 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 320 3 0.94
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 198 3 1.52
Yunnan 186 2 1.08
Hainan 171 6 3.51
Gansu 164 2 1.22
Liaoning 156 2 1.28
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 8373.71 393.46 1 in 119
Brazil 7151.73 295.67 1 in 140
Russia 4569.07 66.91 1 in 219
India 467.17 13.60 1 in 2141
Peru 9076.90 312.25 1 in 110
United Kingdom 4293.62 663.46 1 in 233
Chile 15764.04 327.98 1 in 63
Spain 5360.12 607.97 1 in 187
Italy 3984.14 575.69 1 in 251
Mexico 1846.06 225.92 1 in 542
Iran 2869.18 136.84 1 in 349
Pakistan 1126.38 23.10 1 in 888
France 3039.86 446.01 1 in 329
Turkey 2503.21 63.94 1 in 399
Saudi Arabia 5999.03 53.19 1 in 167
Germany 2371.90 108.78 1 in 422
South Africa 2962.99 50.14 1 in 337
Bangladesh NA NA 1 in NA
Canada 2837.00 231.44 1 in 352
Colombia 2083.98 74.38 1 in 480

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 215902 23123 10.71
Los Angeles California 107792 3457 3.21
Cook Illinois 90911 4581 5.04
Maricopa Arizona 54757 843 1.54
Nassau New York 41910 2184 5.21
Suffolk New York 41491 1981 4.77
Miami-Dade Florida 40265 1018 2.53
Westchester New York 34912 1426 4.08
Harris Texas 34108 387 1.13
Philadelphia Pennsylvania 26400 1615 6.12
Middlesex Massachusetts 24039 1867 7.77
Wayne Michigan 22991 2728 11.87
Dallas Texas 22590 387 1.71
Suffolk Massachusetts 19892 1008 5.07
Bergen New Jersey 19474 1994 10.24
Hudson New Jersey 18874 1454 7.70
Essex New Jersey 18804 2030 10.80
Prince George’s Maryland 18731 685 3.66
Riverside California 18720 465 2.48
Broward Florida 17116 394 2.30
Passaic New Jersey 16920 1187 7.02
Middlesex New Jersey 16852 1323 7.85
Fairfield Connecticut 16733 1376 8.22
Union New Jersey 16394 1325 8.08
Clark Nevada 16180 432 2.67
Essex Massachusetts 16176 1111 6.87
San Diego California 15207 377 2.48
Orange California 15065 354 2.35
Montgomery Maryland 14899 743 4.99
Palm Beach Florida 14859 523 3.52
Fairfax Virginia 13886 492 3.54
Rockland New York 13612 668 4.91
San Bernardino California 13152 265 2.01
Tarrant Texas 12950 231 1.78
Providence Rhode Island 12937 0 0.00
Bexar Texas 12504 111 0.89
Worcester Massachusetts 12407 934 7.53
New Haven Connecticut 12383 1074 8.67
Hillsborough Florida 12376 145 1.17
Oakland Michigan 12108 1091 9.01
Hennepin Minnesota 12048 782 6.49
Mecklenburg North Carolina 11803 150 1.27
Salt Lake Utah 11728 110 0.94
Hartford Connecticut 11716 1374 11.73
Milwaukee Wisconsin 11649 391 3.36
Orange Florida 11458 59 0.51
Marion Indiana 11434 680 5.95
Shelby Tennessee 10765 195 1.81
Orange New York 10744 478 4.45
King Washington 10535 615 5.84

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc